51 to 75 of 9,238 SQL Jobs

quality, troubleshoot issues and continuously improve existing engineering processes and workflows. Required Skills Commercial experience in a Data Engineering or Data Developer role. Strong SQL and Python programming skills. Hands-on experience with Google BigQuery and Google Cloud Platform. Experience implementing cloud-based data solutions. Experience integrating Salesforce Marketing Cloud ...

data architecture, engineering, analytics and reporting. Experience working with cloud-based data platforms such as Azure, AWS or GCP . Strong technical knowledge of SQL and Python . Experience with modern data technologies and tooling such as Microsoft Fabric, Power BI, Snowflake, dbt, Airflow, Databricks or Looker . Experience designing ...

Strong documentation and solutioning skills, capable of producing high‐quality architectural blueprints. Strong understanding of data governance, metadata management, and data lineage. Proficiency in SQL for advanced data modelling, optimization, and validation. Excellent ability to translate business requirements into technical designs. Strong problem‐solving and analytical thinking skills. Understanding ...

experience designing and delivering solutions using Azure services including Azure Data Factory, Azure Databricks, Azure Storage, Azure DevOps. Strong proficiency in Python and SQL Experience working with Data Architects for technical design Experience on the design of data models (Star Schema) for use in Power BI.Insurance analysis, MI or reporting ...

experience designing and delivering solutions using Azure services including Azure Data Factory, Azure Databricks, Azure Storage, Azure DevOps. Strong proficiency in Python and SQL Experience working with Data Architects for technical design Experience on the design of data models (Star Schema) for use in Power BI. Insurance analysis ...

Senior Data Engineer (Fabric, SQL, Python) Hybrid (2 days in Office) Location: Hertfordshire Salary: 60,000 - 65,000+/20% Bonus Prize Placements are currently working alongside a global leader who are looking to recruit a Senior Data Engineer with expertise working with MS Fabric, SQL and Python. … candidate will have the following technical skills: Proficiency in implementing data pipelines and data literacy: ingesting, processing, cleaning, transforming, and modelling data Proficiency in SQL and Python, along with MS Fabric A good understanding and experience of data visualisation through BI tools such as Power BI or Tableau Excellent communication ...

Senior Data Engineer (Fabric, SQL, Python) Hybrid (2 days in Office) Location: Hertfordshire Salary: £60,000 - £65,000+/20% Bonus Prize Placements are currently working alongside a global leader who are looking to recruit a Senior Data Engineer with expertise working with MS Fabric, SQL and Python. … candidate will have the following technical skills: Proficiency in implementing data pipelines and data literacy: ingesting, processing, cleaning, transforming, and modelling data Proficiency in SQL and Python, along with MS Fabric A good understanding and experience of data visualisation through BI tools such as Power BI or Tableau Excellent communication ...

scalable ETL/ELT pipelines that integrate data from Salesforce, marketing platforms, and other disparate source systems into Milan's Snowflake Lakehouse leveraging python, SQL, and Snowflake native functionality including Dynamic Tables. Translate business requirements into technical data models and pipeline architecture. Build data shares and integrations for external partners … experience building ETL/ELT systems and data pipelines in a data warehouse or lakehouse environment required Five years of Structured Query Language (SQL) experience required Three years of Python or other scripting language experience required Demonstrated experience building semantic layer or analytics-engineering-style data models (e.g., dbt, Power ...

Master's degree in mathematics, statistics, computer science, data science or a related quantitative field. Advanced proficiency in Python, R and Structured Query Language (SQL), together with experience using database platforms. Strong communication skills, with the ability to explain complex concepts clearly to technical and non‐technical audiences and collaborate ...

demonstrate: Experience working as a Data Engineer, Data Developer, AI Engineer, Machine Learning Engineer or similar . Strong programming skills in Python and SQL . Experience designing and building scalable data pipelines and working with structured and unstructured data. Experience leading technical workstreams or taking ownership of significant elements ...

rolling up your sleeves to deliver great outcomes will be a core part of the role. Your skills and experience Deep expertise in SQL Server and database engineering, including performance optimisation, schema design, data modelling and operational support. Strong knowledge of relational database design principles, normalisation and data modelling. Ability … write complex SQL queries, stored procedures, views and functions. Strong mathematical aptitude with the ability to analyse complex datasets and processes. Strong knowledge of DAX and Power Query (M language). Experience working with Azure SQL Managed Instance (MI) - including configuration, connectivity, authentication, security and troubleshooting integration with cloud-based ...

around the Microsoft data stack, so we’re looking for someone with strong experience across either Microsoft Fabric or Azure data services, alongside solid SQL, data modelling and ETL capabilities. What you’ll be doing Designing and building reliable data pipelines to ingest data from a range of internal … analytics Designing appropriate database structures, schemas and data models Ensuring data quality, integrity, security and performance across the data platform Working extensively with SQL and the wider Microsoft data ecosystem Supporting the development of reporting and self-service analytics solutions Building and developing Power BI dashboards where required Working with ...

platform that will serve as a strategic data and AI enabler for the Research business. Design, develop, and maintain scalable data pipelines using Python, SQL, Spark, Databricks, Azure, and related cloud data technologies. Create curated, reusable, and governed data products that can be consumed by Research applications, dashboards, reporting tools … experience in data engineering, data platform delivery, software engineering, or related enterprise technology roles. Strong hands‐on experience with Databricks, Spark/PySpark, Python, SQL, Delta Lake, Azure, ADLS, and cloud‐based data engineering patterns. Experience designing scalable data pipelines, data products, and lakehouse solutions using modern cloud data platform ...

scale data processing. In this role, you will architect and maintain production-grade data products and APIs, leveraging technologies such as Java/Scala, SQL, Spark, Airflow, and Kubernetes to deliver reliable, high-performance solutions. You will collaborate with cross-functional partners across Finance, Accounting, and Analytics to translate complex … years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark and Apache Airflow Advanced SQL skills, with expertise in query optimisation for large datasets Expertise in developing APIs and robust backend services, with strong programming skills in Python, Java ...

five years) delivering data, analytics or AI work, with a strong interest in tax, technology and transformation. Solid hands‐on technical skills – for example SQL and Python, data manipulation and engineering, and exposure to generative AI/LLM tools, machine learning or analytics platforms such as Power BI or Alteryx. ...

fiveyears) delivering data, analytics or AI work, with a strong interest in tax, technology and transformation. Solid hands-on technical skills – for example SQL and Python, data manipulation and engineering, and exposure to generative AI/LLM tools, machine learning or analytics platforms such as Power BI or Alteryx. Experience ...

expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP).Knowledge of data modelling methodologies ...

data analysis, extraction, transformation, and loading, data intelligence, data security and proven experience in their technologies (e.g. Spark, cloud-based ETL services, Python, Kafka, SQL, Airflow) You have experience in assessing the relevant data quality issues based on data sources & uses cases, and can integrate the relevant data quality checks ...

experience designing scalable Azure data solutions, defining data architecture and making technical design decisions across Azure Data Factory, Azure Databricks, Azure Data Lake, Azure SQL and Azure Synapse. You'll combine deep Azure Data Platform knowledge with leadership, stakeholder management and project delivery experience, helping shape the organisation's data … architecture and solution design, including data ingestion, integration, transformation, storage and consumption. You'll drive enhancements across Azure Data Factory, Databricks, Data Lake, Azure SQL and Synapse while ensuring solutions are scalable, secure, supportable and cost-effective. You'll also oversee platform performance, monitoring and incident management, lead migrations ...

experience as a Senior Data Engineer in enterprise data environments. Technical stack: Microsoft Azure data platforms, including Azure Synapse or equivalent data platform, Azure SQL Server, Azure Data Factory, Azure DevOps, Fabric This is a new opportunity to join a thriving team to be a key voice in modernizing core … ingestion and staging layer, including: Synapse Link integrations. Synapse data pipelines for orchestration and movement. Support the Enterprise Data Warehouse (EDW) built on Azure SQL Server, including: Transformations using stored procedures, views, and DBT. Clear separation of bronze, silver, and gold layers aligned to a medallion architecture. Collaborate with ...

significant transformation of its data estate. As part of a wider modernisation programme, the business is migrating critical real estate data capabilities from legacy SQL Server environments into a modern Databricks platform, creating a more scalable, governed and future-ready foundation for analytics, reporting and investment decision-making. This … influence platform architecture, data governance and reporting capabilities across a complex investment environment. What You'll Do Lead the assessment and modernisation of legacy SQL Server, ETL and reporting workloads into a Databricks-based architecture. Design scalable data models, Delta Lake structures and transformation pipelines supporting real estate investment data. ...

target-state architecture for data engineering, analytics, BI, machine learning, and AI workloads. Architect solutions using Databricks, Delta Lake, Apache Spark, Unity Catalog, Databricks SQL, Workflows, and Lakehouse Federation. Design and implement enterprise data governance, security, access control, lineage, and data-sharing strategies using Unity Catalog. Lead migration of legacy … strong Databricks experience, including architecture and implementation. Strong hands-on experience with: Databricks Lakehouse Platform Apache Spark/PySpark Delta Lake Unity Catalog Databricks SQL Databricks Workflows/Jobs Delta Live Tables/Lakeflow Data governance and security Strong understanding of Data Lake, Data Warehouse, and Lakehouse architectures. Experience designing ...

build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with … Experience: Experience in operating as part of data engineering teams and independently. Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ...

architecture and code reviews. Support testing and validation activities within data related projects and initiatives. Qualifications & Experience Proven experience in the market as a SQL and PLSQL developer. Extensive experience with any SQL cloud databases like Snowflake/Redshift/BigQuery/Azure SQL database. Experience with any on-premise … SQL database like MS SQL Server, Teradata etc. Clear understanding of one ETL tool (For eg: Matillion, SNP Glue, Fivetran, Informatica). Azure DevOps experience is a plus. Clear understanding of data modeling, data curation, and orchestration Experience with Business Intelligence tools like PowerBI is a plus. Sound understanding ...

Architecting and delivering modern data platforms leveraging Azure technologies including Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Designing and developing robust ETL/ELT frameworks, data pipelines, Lakehouse architectures and real-time data solutions, ensuring engineering excellence and reusability … controls, data quality frameworks, lineage and metadata management practices across the Azure Data Platform Leading the migration and modernisation of legacy data warehouse and SQL Server environments, driving adoption of cloud-native Azure services and best-practice engineering approaches Providing technical leadership, mentorship and guidance to Data Engineers while championing ...